3 citations · 6 across the 3 of their papers we have counts for
8 papers
Adaptive Domain-Specific Normalization for Generalizable Person Re-Identification
Jiawei Liu, Zhipeng Huang, Kecheng Zheng +3
Although existing person re-identification (Re-ID) methods have shown impressive accuracy, most of them usually suffer from poor generalization on unseen target domain. Thus, gener…
Task-Independent Knowledge Makes for Transferable Representations for Generalized Zero-Shot Learning
Chaoqun Wang, Xuejin Chen, Shaobo Min +2
Generalized Zero-Shot Learning (GZSL) targets recognizing new categories by learning transferable image representations. Existing methods find that, by aligning image representatio…
VAE^2: Preventing Posterior Collapse of Variational Video Predictions in the Wild
Yizhou Zhou, Chong Luo, Xiaoyan Sun +2
Predicting future frames of video sequences is challenging due to the complex and stochastic nature of the problem. Video prediction methods based on variational auto-encoders (VAE…
Spatiotemporal Fusion in 3D CNNs: A Probabilistic View
Yizhou Zhou, Xiaoyan Sun, Chong Luo +2
Despite the success in still image recognition, deep neural networks for spatiotemporal signal tasks (such as human action recognition in videos) still suffers from low efficacy an…
Tracking by Instance Detection: A Meta-Learning Approach
Guangting Wang, Chong Luo, Xiaoyan Sun +2
We consider the tracking problem as a special type of object detection problem, which we call instance detection. With proper initialization, a detector can be quickly converted in…
Posterior-Guided Neural Architecture Search
Yizhou Zhou, Xiaoyan Sun, Chong Luo +2
The emergence of neural architecture search (NAS) has greatly advanced the research on network design. Recent proposals such as gradient-based methods or one-shot approaches signif…